DocumentCode :
656703
Title :
SECPSIM: A Training Simulator for cyber-power infrastructure security
Author :
Vellaithurai, Ceeman ; Srivastava, Anurag ; Zonouz, Saman
Author_Institution :
Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
fYear :
2013
fDate :
21-24 Oct. 2013
Firstpage :
61
Lastpage :
66
Abstract :
Trustworthy critical power grid infrastructures require suitable cyber and power security protection efforts. Expert system operators play a crucial role in protecting complex power-grid networks; however, inefficient training of system operators regarding potential cyber attacks and physical security threats can potentially result in malicious compromises and catastrophic consequences. In this paper, we present SECPSIM, a user-friendly framework based on mathematical models of corrective control actions against various intrusions and failure scenarios. Our experimental results show that SECPSIM can help in learning and provide appropriate corrective cyber-physical control actions efficiently, and provide inexperienced individuals with an effective tutorial user interface.
Keywords :
expert systems; learning (artificial intelligence); mathematical analysis; power grids; power system protection; power system security; power system simulation; user interfaces; SECPSIM; catastrophic consequence; corrective control action; cyber attack; cyber-physical control action; cyber-power infrastructure security protection; expert system operator; failure scenario; intrusion scenario; mathematical model; physical security threat; training simulator; trustworthy critical power grid infrastructure; user interface; Equations; Generators; Mathematical model; Power grids; Security; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Grid Communications (SmartGridComm), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
Type :
conf
DOI :
10.1109/SmartGridComm.2013.6687934
Filename :
6687934
Link To Document :
بازگشت